Secure Finite-Horizon Consensus Control of Multiagent Systems Against Cyber Attacks.

Area of Science:

• Control Systems Engineering
• Cybersecurity
• Networked Systems

Background:

• Multiagent systems (MASs) face challenges in secure consensus control due to actuator saturation and cyber attacks.
• Existing methods may not adequately address randomly occurring attacks like false data injection and denial-of-service.

Purpose of the Study:

• To develop a hybrid secure control scheme for discrete time-varying MASs with actuator saturation.
• To mitigate the impact of arbitrary cyber attacks on system performance and guarantee H∞ consensus.
• To propose a random attack model governed by a Markov process.

Main Methods:

• A random attack model is proposed, incorporating Markov process dynamics.
• A hybrid control law with multiple controllers is designed to counter diverse cyber attacks.
• Stochastic analysis is employed to derive criteria for H∞ consensus performance.

Main Results:

• Two sufficient criteria are established to ensure finite horizon H∞ consensus performance for time-varying MASs.
• Controller parameters are determined by solving recursive linear matrix inequalities.
• The effectiveness of the proposed scheme is validated through a numerical example.

Conclusions:

• The developed hybrid secure control scheme effectively addresses secure finite-horizon consensus control in MASs under actuator saturation and cyber attacks.
• The proposed random attack model and control strategy provide a robust solution for enhancing system security.
• The theoretical results are practically demonstrated, offering a valuable contribution to secure control systems.